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Forecasting demand

  • Brant E. Fries
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 10)

Abstract

A problem associated with health planning is that of predicting the demand on a health service delivery system. Such prediction allows the projection of facility and manpower requirements.

Keywords

Cervical Cancer Recovery State Health Care Delivery System Family Planning Clinic Mixed Marriage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1).
    Gustafson (“Length of Stay: Prediction and Explanation,” Health Serv. Res. 3:12–34, 1968) found that the historical mean was the worst of five predictors of hospital length of stay. Regression and subjective point and distribution estimates were also inferior to the use of Bayes’ formula. Models of the type discussed in this report were not compared.Google Scholar

Copyright information

© Springer-Verlag Berlin Heideiberg 1981

Authors and Affiliations

  • Brant E. Fries
    • 1
  1. 1.Yale School of Organization and ManagementNew HavenUSA

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